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Shield AI

Builds autonomous aircraft for defense

Software Manager - Perception

Engineering LeadershipUpdated on Nov 14
Full-timeArlington County, Arlington, VA, USA

About the Job

Requirements

  • A BS or MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent practical experience.
  • A minimum of 7 years of related experience with a Bachelor’s degree, 5 years with a Master’s degree, 4 years with a PhD, or equivalent work experience.
  • At least 5 years of experience in Unmanned Systems programs in the Department of Defense or applied research and development.
  • At least 2 years of people leadership experience.
  • Background implementing algorithms such as Kalman filters, multi-target tracking, or deep learning-based detection models.
  • Familiarity with fusing radar, electro-optical/infrared camera, or other sensor data using probabilistic or rule-based approaches.
  • Familiarity with simultaneous localization and mapping, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.
  • Ability to interpret and work with Interface Control Documents and hardware integration specifications.
  • Proficiency with version control, debugging, and test-driven development in cross-functional teams.
  • Ability to obtain a Secret clearance.

Responsibilities

  • Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication.
  • Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
  • Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
  • Design and refine algorithms for localization and pose estimation using inertial measurement units, Global Positioning System, vision, and other onboard sensing inputs to enable stable and accurate navigation.
  • Interpret interface control documents and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.
  • Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in simulation and real-world environments.
  • Work with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
  • Use synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
  • Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
  • Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
  • Travel around 10–15% of the year to different office locations, customer sites, and flight integration events.

Desired Qualifications

  • Hands-on integration or algorithm development with airborne sensing systems.
  • Experience with machine-learning frameworks such as PyTorch or TensorFlow, particularly for vision-based object detection or classification tasks.
  • Experience deploying perception software on size, weight, and power-constrained platforms.
  • Familiarity with validating perception systems during flight test events or in operational environments.
  • Understanding of sensing challenges in denied or degraded conditions.
  • Exposure to perception applications across air, maritime, and ground platforms.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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